Jui-Hao Chiang

Stony Brook University, Laboratoire d'Informatique de Paris-Nord

Papers

Total Citations

H-Index

About

Jui-Hao Chiang is a researcher whose work centers on wireless networking and networked robotic systems, with a particular focus on creating high-fidelity emulation platforms for wireless communication. His major contribution lies in the development of MiNT, an innovative wireless network emulation platform designed to overcome the limitations of traditional simulation tools. MiNT addresses critical barriers in wireless networking research by simultaneously offering high fidelity, scalability, reproducibility, and ease of use—a combination that had been notoriously difficult to achieve. Chiang’s most cited work, "A Networked Robot System for Wireless Network Emulation," published in 2008 with 5 citations, and its earlier 2007 version with 3 citations, together form the foundation of this contribution. These papers demonstrate his ability to integrate robotic systems with network emulation, enabling more realistic and repeatable experiments in wireless communication. While his citation counts are modest, the conceptual impact of his work is significant for researchers seeking robust testing environments. Chiang’s research is particularly valuable for students and engineers working on wireless protocols, mobile ad-hoc networks, and IoT systems, where accurate emulation is essential for validating real-world performance before deployment.